Implementing Search Heuristics Using the AL1 Advice-Taking System
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
The AL1 System <Advice Language 1> was developed as a vehicle for conveying expert knowledge• or advice• to a problem solver. Using chess end-games as an experimental problem domain• this paper concentrates on the question: How to implement chess heuristics using the mechanisms of AL1? The spirit of advice programming as a sort of "tree-search engineering" is illustrated by developing an AL1 piece-of-advice for solving an example problem from the king-knight vs. king-rook chess ending. Experiments indicate that an advice program for this ending• based on comparatively simple concepts• and the human chess master perform comparably.
@inproceedings{ijcai1979p26,
title = {Implementing Search Heuristics Using the AL1 Advice-Taking System},
author = {Bratko, Ivan},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/26},
}
TY - CPAPER TI - Implementing Search Heuristics Using the AL1 Advice-Taking System AU - Bratko, Ivan T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/26 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
